Building Scalable MLOps with Amazon SageMaker + AI Agents (Production Guide)

🔗 Originally published on my blog: https://roeittt.github.io/sai-blog/posts/mlops-sagemaker-ai-agents.html A comprehensive guide to building production-grade ML operations on SageMaker and integrating them with AI agents via Bedrock, LangGraph, and open-source frameworks. April 2026 · 20 min read · MLOps · AWS · AI Agents Table of Contents 1. Executive Summary 2. Why ML Models Still Matter — and Why AI Agents Can't Solve Everything 3. What Is MLOps and Why It Matters 4. Amazon SageMaker: Platform Overview 5. Building MLOps Pipelines with SageMaker 6. Model Deployment Strategies 7. Monitoring, Drift Detection, and Retraining 8. Integrating AI Agents with SageMaker MLOps 9. Reference Architecture 10. Complementary Tooling Ecosystem 11. Implementation Roadmap 12. Best Practices 13. Conclusion 1. Executive Summary Machine Learning Operations (MLOps) has matured from an emerging discipline into a core engineering function. As organizations race to deploy AI at scale, the gap between prototy